Summary
Mark Edmonds is a Senior Software Engineer specializing in ML-driven robotics with 12 years of experience translating research-grade ideas into real-world systems at the intersection of imitation learning, planning, and embodied AI. Currently at Cruise, he focuses on imitation learning and planning for autonomous systems while also leading the nonprofit Center for AI and Robot Autonomy to advance mission-driven robotics research and education. His PhD work at UCLA spanned imitation learning, causal and explainable AI, and language-grounded representation learning, including building UE4 environments coupling vision and scene-graph language for transferable representations. A pragmatic builder with roots in academia and industry, he has a track record of shipping performance gains (e.g., 100x CUDA speedups in cognitive modeling) and teaching engineers and students as an adjunct professor and TA. Based in Los Angeles, he combines deep technical rigor with a clear ethic: applying AI to make basic needs affordable and support a healthy biosphere.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Engineering, Magna Cum Laude, Bachelor of Science (B.S.), Computer Engineering, Magna Cum Laude at University of Dayton
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Los Angeles